Top Social Impact Data & Analytics Jobs

The Lead Data Analyst will analyze user journeys, recommend product changes, develop dashboards, and drive strategic initiatives through data analysis and experimentation frameworks.

As a Meteorologist, you will use forecasting tools to identify weather events impacting clients, communicate weather information, partner with analysts, and support customer webinars, all while working with a flexible schedule in a fast-paced environment.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

As a Principal Product Analyst, you will lead product analytics for unsecured installment products, executing high-impact analyses, optimizing user journeys, and collaborating cross-functionally to drive data-informed product strategies.

This role drives data-driven decision-making in product analytics, collaborating with cross-functional teams to generate actionable insights and evaluate new launches to enhance platform growth.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

As a Staff Data Analyst, you will drive data-informed decisions by leading analytical initiatives, managing dashboards, conducting experiments, and collaborating across teams to improve the Match Success product group at Grow Therapy.

The Senior Data Platform Engineer will design, maintain, and enhance Hinge's data platform, including data pipelines, monitoring systems, and user feedback incorporation while ensuring data quality and system reliability.

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.